TY - GEN
T1 - Towards simple, easy-to-understand, yet accurate classifiers
AU - Caragea, Doina
AU - Cook, Dianne
AU - Honavar, Vasant
PY - 2003
Y1 - 2003
N2 - We design a method for weighting linear support vector machine classifiers or random hyperplanes, to obtain classifiers whose accuracy is comparable to the accuracy of a non-linear support vector machine classifier, and whose results can be readily visualized. We conduct a simulation study to examine how our weighted linear classifiers behave in the presence of known structure. The results show that the weighted linear classifiers might perform well compared to the non-linear support vector machine classifiers, while they are more readily interpretable than the non-linear classifiers.
AB - We design a method for weighting linear support vector machine classifiers or random hyperplanes, to obtain classifiers whose accuracy is comparable to the accuracy of a non-linear support vector machine classifier, and whose results can be readily visualized. We conduct a simulation study to examine how our weighted linear classifiers behave in the presence of known structure. The results show that the weighted linear classifiers might perform well compared to the non-linear support vector machine classifiers, while they are more readily interpretable than the non-linear classifiers.
UR - http://www.scopus.com/inward/record.url?scp=19544393873&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=19544393873&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:19544393873
SN - 0769519784
SN - 9780769519784
T3 - Proceedings - IEEE International Conference on Data Mining, ICDM
SP - 497
EP - 500
BT - Proceedings - 3rd IEEE International Conference on Data Mining, ICDM 2003
T2 - 3rd IEEE International Conference on Data Mining, ICDM '03
Y2 - 19 November 2003 through 22 November 2003
ER -